Management of AI, ML
& Gen AI workloads
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Helping customers seamlessly integrate AI, ML and generative AI into businesses.
Find our managed service offering on the AWS marketplace
AIOps
Accelerate your path to enterprise-wide AI solutions
Manage the entire lifecycle, from initial experimentation and deployment to ongoing continuous improvement.
Harness the full potential of AI to drive innovation and optimise performance across your enterprise.
What is AIOps
End-to-end framework for managing all AI applications
AIOps defines the development, deployment and maintenance of AI, ML, and generative AI workloads. It builds on the structures and purposes of its predecessors; MLOps, FMOps, and LLMOps.
Features
The importance of AIOps
Long-term optimisation of workloads in a rapidly changing landscape.
Continuous evaluation & benchmarking
Autonomous and Human-in-the-loop evaluation framework that provides continuous evaluation and benchmarking.
Troubleshooting & support
Provide support when workloads become unavailable or the output deviates from its desired results.
Continuous data preparation & management
Automated and Continuous data preparation, cleaning, and ingestion for workload sustainability.
Continuous testing & optimisation
Continuous monitoring and refinement to optimise cost, performance and efficiency.
New model testing
Test, evaluate and update models allowing us to refine and improve workload performance.
Benefits
Empowering businesses with AI
With AIOps, focus on what matters most and let us manage your workloads to ensure tangible business outcomes.
Better ROI
Increase workload lifespan during an ever changing AI landscape.
Sustained efficiency
With continuous monitoring, evaluation and improvement your workloads will remain performant and efficient.
Enhanced productivity
Spend more time on business operations to drive your business forward.
AIOps engagement
Onboarding and continuous support
01
Discovery
- Assess AI readiness
- Collect business requirements & expectations
- Establish baseline metrics and identify risks
- Develop a production roadmap
- Data Acquisition
02
Build
- Data preparation & exploration
- Model selection, training & fine-tuning
- Automated evaluation & benchmarking Human/LLM-in-the-loop
- Management Infrastructure
- Proof of Value presentation
03
Deploy
- Data management & scaling
- Cost optimisation
- Account setup and transfers
- Deployment infrastructure
- Deployment and initial testing
04
Manage & optimise
- Data management & scaling
- Monitor model performance & quality
- Track cost/performance inefficiencies
- Quarterly reviews & upgrade recommendations.
- Re-train the model on updated data
Why Firemind
Proven track record
Partnered with AWS, we have helped organisations achieve tangible business outcomes with generative AI.
Generative AI Tools Partner Finalist 2024 & Rising Star Partner of the Year 2023
We achieved the AWS UKI Rising Star of the Year 2023 award in recognition for our work at the forefront of generative AI on AWS.
2x Generative AI competencies
We were a launch partner for the generative AI competencies and were one of the first in the world to achieve both AWS generative AI competencies.
Case study
95% Faster document
review process
Automated solution that can pull desired data from multiple documents and list them in a simple to view UI and CSV.
“The solution is significantly outperforming OpenAI,
and provides much better results.”
Dr. Malte Polley
AWS Cloud Solution Architect at MRH Trowe
Discover our in-house tooling for AI workload management
Pulse
Generative AI time-to-value accelerator
Explore latest AI case studies
Building an execution flow for Oxford Immune Algorithmic’s white blood cell models
TextKernel Explores Scaling and Affordability of Generative AI for CV Parsing
Personalised Recommendations by Leveraging Generative AI with Calm
Get in touch
Elevate operations with AIOps
Streamline processes, predict issues, and enhance performance with intelligent, automated solutions.
Our Partnerships
